The Ops in MLOps - Process and People // Shalabh Chaudri // MLOps Podcast #146

MLOps Coffee Sessions #146 with Shalabh Chaudri, The Ops in MLOps - Process and People, co-hosted by Abi Aryan.// AbstractShalabh talks through their newfound appreciation for the MLOps perspective from a customer success standpoint. Shalabh's emphasis on setting realistic expectations and ensuring the delivery of promised value adds is particularly valuable.    Generally, this episode provides a unique and insightful perspective on MLOps from the lens of customer success.// BioShalabh has worked in the MLOps domain since 2020 at Algorithmia and Union AI. His experience spans startups and small and large public companies. He has 10+ years of experience in the design, delivery, adoption, and business value realization of B2B infrastructure and platform solutions.// MLOps Jobs boardjobs.mlops.community  // MLOps Swag/Merchhttps://mlops-community.myshopify.com/// Related Linkshttps://www.union.ai/--------------- ✌️Connect With Us ✌️ -------------Join our Slack community: https://go.mlops.community/slackFollow us on Twitter: @mlopscommunitySign up for the next meetup: https://go.mlops.community/registerCatch all episodes, blogs, newsletters, and more: https://mlops.community/Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/Connect with Abi on LinkedIn: https://www.linkedin.com/in/abiaryan/Connect with Shalabh on LinkedIn: https://www.linkedin.com/in/shalabhchaudhri/Timestamps: [00:00] Shalabh's preferred coffee [01:18] Takeaways [02:57] Huge shout-out to Union AI! [03:46] Reviews [05:26] Shalab's journey [07:00] The people and process of MLOps [10:25] Accuracy measures and Multiple Stakeholders [13:01] UnionAI's success where others fall short [14:45] Legacy equipment [17:06] Legacy tools versus open source [19:27] Cataloging solution [22:51] Stakeholders and maturity levels [24:26] People and Process in MLOps [29:00] Collaboration for Machine Learning [31:08] Overcoming challenges [34:17] AI and leadership decision-making [35:33] Legacy Companies and AI [39:39] Common pitfalls  [42:24] Neglecting ROI [46:25] Speaking to each level [49:50] Being realistic [51:29] Becoming a champion [53:08] Transitioning to machine learning [55:25] Customer's Skill and Success needed in ML  [57:46] Different sizes of companies